Software Engineer - Observability

Software Engineer - Observability TeamBaseten powers mission-critical inference for the world's most dynamic AI companies. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. Join us and help build the platform engineers turn to ship AI products.Baseten is seeking talented and experienced Software Engineers to join our Observability team within the Infrastructure organization. As an early member of the Observability Team, you will be pivotal in building and shaping the observability experience for our internal and external customers. By joining this team, you'll have a direct impact on the reliability and operational excellence of Baseten's product systems.As Baseten scales its infrastructure across different cloud providers and diverse hardware, the volume and complexity of operational data is growing by orders of magnitude. This team is responsible for building high-throughput ingest pipelines, cost-efficient storage, and agentic diagnostic tools to ensure that we can detect, diagnose, and resolve issues in minutes rather than hours, even as the systems they operate become more complex.Responsibilities:Design and build scalable telemetry ingest and storage pipelines for metrics, logs, and traces across Baseten's multi-cloud infrastructureOwn and evolve core observability platforms, driving migrations and architectural improvements that improve reliability, reduce cost, and scale with organizational growthBuild instrumentation libraries, SDKs, and integrations that make it easy for engineering teams to emit high-quality telemetry from their servicesDrive alerting and SLO infrastructure that enables teams to define, monitor, and respond to reliability targets with minimal noisePartner with Inference, Product, and Infrastructure teams to ensure observability solutions meet the unique needs of each organizationRequirements:Have deep experience with at least one observability signal area (metrics, logging, tracing, or error analytics) and familiarity with the othersUnderstand high-throughput data pipelines, columnar storage engines, and the tradeoffs involved in ingesting and querying telemetry data at scaleHave experience operating or building on top of observability platforms such as Prometheus, Grafana, ClickHouse, OpenTelemetry, or similar systemsHave strong proficiency in at least one of Python, Rust, or GoHave excellent communication skills and enjoy partnering with internal teams to improve their operational visibility and incident response capabilitiesInterest in applying AI/LLMs to operational workflows such as automated root cause analysis, anomaly detection, or intelligent alertingAre excited about building foundational infrastructure and are comfortable working independently on ambiguous, high-impact technical challengesBenefits:Competitive compensation, including meaningful equity100% coverage of medical, dental, and vision insurance for employee and dependentsFlexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)Paid parental leaveFertility and family-building stipend through CarrotCompany-facilitated 401(k)Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law.